Skip to main content

EncryptoX: A Hybrid Metaheuristic Encryption Approach Employing Software Testing for Secure Data Transmission

  • Chapter
  • First Online:
Optimization of Automated Software Testing Using Meta-Heuristic Techniques

Abstract

As a part of the information technology (IT) curriculum and to gain practical knowledge and skills in the field of technology, we have proposed an approach on “EncryptoX, as a Secure Storage System (SSS) using Hybrid Cryptography.” The main objective behind doing this project report is to gain skills and knowledge regarding various cryptography and storage techniques. In this study, we have included various techniques, concepts, better methods of data storage, and preservation employing software testing. As the world is moving further into the digital era and generating vast amount of data, thus securing emerges to be very crucial.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Osman, I., & Kelly, J.. (1996). Meta-hueuristics theory and applications. ISBN: 978-1-4613-1361-8, pp. 1–690.

    Google Scholar 

  2. Sharma, M., & Kaur, P. (2021). A comprehensive analysis of nature-inspired meta-heuristic techniques for feature selection problem. Archives of Computational Methods in Engineering, 28, 1103–1127.

    Article  MathSciNet  Google Scholar 

  3. Nick, A., & Lee, G..(2017). Cloud computing principles, systems and applications. ISBN: 978-3-319-54645-2 (pp. 1–378).

    Google Scholar 

  4. https://datatracker.ietf.org/doc/html/rfc7539

  5. https://nevonprojects.com/secure-file-storage-on-cloud-using-hybrid-cryptography/

  6. Reece, B. D., & Ruby, D. (2020). Secure file storage on cloud using hybrid cryptography. International Journal of Engineering and Technical Research, 8(03).

    Google Scholar 

  7. Jena, A., Das, A. K., Mohapatra, H., & Prasad, D. (2020). Automated software testing foundations, applications and challenges, ISBN:978-981-15-2455-4 (pp. 1–165).

    Google Scholar 

  8. Ellims, M., & Jackson, K., ISO 9001: Making the right mistakes. SAE technical paper series 2000-01-0714.

    Google Scholar 

  9. Davis, M., & Weyuker, E. J. (1998). Metric-based test data adequacy criteria. Computer Journal, 13(1), 17–24.

    Article  MathSciNet  Google Scholar 

  10. Jorgensen, P. (1995). Software testing a craftsman’s approach. CRC Press.

    MATH  Google Scholar 

  11. Lyu, M. R., Huang, Z., Sze, S. K., & Cai, X. (2003). An empirical study on testing and fault tolerance for software reliability engineering. Proceedings – International Symposium on Software Reliability Engineering, 2003, 119–130.

    Article  Google Scholar 

  12. Cabe, M., & T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 202–213.

    MathSciNet  Google Scholar 

  13. Richard, D. J., & Thompson, M. C. (1993). An analysis of test data selection criteria using the relay model of fault detection. IEEE Transactions on Software Engineering, 19(6), 533–553.

    Article  Google Scholar 

  14. Torkar, R., Mankefors, S., Hansson, K., & Jonsson, A. (2003). An exploratory study of component reliability using unit testing. In Proceeding 14 international symposium on system reliability engineering (pp. 227–233).

    Google Scholar 

  15. Zhu, H., Hall, P. A. V., & May, J. H. R. (1997). Software unit test coverage and adequacy. ACM Computing Surveys, 29(4), 366–427.

    Article  Google Scholar 

  16. Voas, J. M., & Miller, K. W. (1995). Software testability: The new verification. IEEE Software, 12, 17–18.

    Article  Google Scholar 

  17. Zhu, H. (1996). A formal analysis of subsume relation between software testing adequacy criteria. IEEE Transactions on Software Engineering, 22(4), 248–255.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Priyadarshini, S.B.B., Sahu, A.A., Ray, V., Ray, P., Subudhi, S. (2022). EncryptoX: A Hybrid Metaheuristic Encryption Approach Employing Software Testing for Secure Data Transmission. In: Khari, M., Mishra, D.B., Acharya, B., Gonzalez Crespo, R. (eds) Optimization of Automated Software Testing Using Meta-Heuristic Techniques. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-07297-0_11

Download citation

Publish with us

Policies and ethics